A Meaningful Experiment in Industry-School Partnership in Vocational Education

Worldwide, vocational education with an emphasis on industry has gained popularity. China’s rapid industrial change creates a demand for individuals with a breadth of skills rather than a tight focus on a single expertise. Vocational education equips students with practical knowledge, skills, and abilities, which helps business gain from timely collaboration between industry and academia

Human-machine knowledge hybrid augmentation method for surface defect detection based few-data learning

Visual-based defect detection is a crucial but challenging task in industrial quality control. Most mainstream methods rely on large amounts of existing or related domain data as auxiliary information. However, in actual industrial production, there are often multi-batch, low-volume manufacturing scenarios with rapidly changing task demands, making it difficult to obtain sufficient and diverse defect data. This paper proposes a parallel solution that uses a human-machine knowledge hybrid augmentation method to help the model extract unknown important features. Specifically, by incorporating experts' knowledge of abnormality to create data with rich features, positions, sizes, and backgrounds, we can quickly accumulate an amount of data from scratch and provide it to the model as prior knowledge for few-data learning. The proposed method was evaluated on the magnetic tile dataset and achieved F1-scores of 60.73%, 70.82%, 77.09%, and 82.81% when using 2, 5, 10, and 15 training images, respectively. Compared to the traditional augmentation method's F1-score of 64.59%, the proposed method achieved an 18.22% increase in the best result, demonstrating its feasibility and effectiveness in few-data industrial defect detection.Comment: 24 pages, 15 figure

Development of Digital Education in the Age of Digital Transformation: Citing China’s Practice in Smart Education as a Case Study

Digital education has been catalyzing educational transition, transforming the educational views and instructional techniques while also providing opportunities for high-quality educational development. This is a subject that all nations throughout the world are concerned about. The worldwide practice of integrating digital technologies in teaching has yielded positive results. The Global Digital Education Conference, which was held in Beijing, China, in 2023, called for global collaboration on digital education development. This paper sought to illustrate the significance of digital education for educational reform and to investigate ways for digital education development in this context, using China’s smart education practice as evidence

The response of sea ice and high-salinity shelf water in the Ross Ice Shelf Polynya to cyclonic atmosphere circulations

Coastal polynyas in the Ross Sea are important source regions of high-salinity shelf water (HSSW) - the precursor of Antarctic Bottom Water thatsupplies the lower limb of the thermohaline circulation. Here, the responseof sea ice production and HSSW formation to synoptic-scale and mesoscalecyclones was investigated for the Ross Ice Shelf Polynya (RISP) using acoupled ocean-sea ice-ice shelf model targeted on the Ross Sea. Whensynoptic-scale cyclones prevailed over RISP, sea ice production (SIP)increased rapidly by 20 %-30 % over the entire RISP. During the passage of mesoscale cyclones, SIP increased by about 2 times over the western RISP but decreased over the eastern RISP, resulting respectively from enhancement inthe offshore and onshore winds. HSSW formation mainly occurred in thewestern RISP and was enhanced responding to the SIP increase under bothtypes of cyclones. Promoted HSSW formation could persist for 12-60 h after the decay of the cyclones. The HSSW exports across the DrygalskiTrough and the Glomar Challenger Trough were positively correlated with themeridional wind. Such correlations are mainly controlled by variations ingeostrophic ocean currents that result from sea surface elevation change and density differences.Peer reviewe

Impacts of strong wind events on sea ice and water mass properties in Antarctic coastal polynyas

Strong offshore wind events (SOWEs) occur frequently near the Antarctic coast during austral winter. These wind events are typically associated with passage of synoptic- or meso-scale cyclones, which interact with the katabatic wind field and affect sea ice and oceanic processes in coastal polynyas. Based on numerical simulations from the coupled Finite Element Sea-ice Ocean Model (FESOM) driven by the CORE-II forcing, two coastal polynyas along the East Antarctica coast––the Prydz Bay Polynya and the Shackleton Polynya are selected to examine the response of sea ice and oceanic properties to SOWEs. In these polynyas, the southern or western flanks of cyclones play a crucial role in increasing the offshore winds depending on the local topography. Case studies for both polynyas show that during SOWEs, when the wind speed is 2–3 times higher than normal values, the offshore component of sea ice velocity can increase by 3–4 times. Sea ice concentration can decrease by 20–40%, and sea ice production can increase up to two to four folds. SOWEs increase surface salinity variability and mixed layer depth, and such effects may persist for 5–10 days. Formation of high salinity shelf water (HSSW) is detected in the coastal regions from surface to 800 m after 10–15 days of the SOWEs, while the HSSW features in deep layers exhibit weak response on the synoptic time scale. HSSW formation averaged over winter is notably greater in years with longer duration of SOWEs

Modelling of the Marine Traffic Situation Complexity

With the growth of traffic density, traditional collision risk models cannot thoroughly describe the complex traffic any more. Therefore, in this paper, a marine traffic situation complexity model, which is based on the relationship between ships, is introduced to metric the complexity of vessel traffic. Firstly, traffic density factor and traffic conflict factors are considered to construct the traffic unit complexity model, reflecting the traffic complexity and traffic characteristics; Secondly, by extending the traffic unit complexity model into the own-ship complexity model, the influences of the positions of other ship on the complexity spatial distribution are analysed; Finally, two scenarios are imported to validate the availability of the complexity model. The verification results show that the complexity can respond to different route structures and traffic situations sensitively

Do not Let Education Degenerate into a Trigger for Falling into Poverty

Solving the problem of poverty has always been a topic of concern to all countries in the world. On October 14, 2019, the Nobel Prize official website announced that Abhijit Banerjee, Esther Duflo, and Michael Kremer became the laureates of the annual Nobel Prize in Economics in recognition of their unique contribution to “experimental practices in reducing global poverty.” This result was a commendation to development economists and an encouragement to the global efforts to reduce poverty

Establishment of the Sustainable Ecosystem for the Regional Shipping Industry Based on System Dynamics

The rapid development of the shipping industry has brought great economic benefits but at a great environmental cost; exhaust emissions originating from ships are increasing, causing serious atmospheric pollution. Hence, the mitigation of ship exhaust emissions and the establishment of the sustainable ecosystem have become urgent tasks, which will require complicated and comprehensive systematic approaches to solve. We address this problem by establishing a System Dynamics (SD) model to help mitigate regional ship exhaust emissions without restricting economic growth and promote the development of the sustainable ecosystem. Factors correlated with ship exhaust emissions are identified, and a causal loop diagram is drawn to describe the complicated interrelations among the correlated factors. Then, a stock-and-flow diagram is designed and variable equations and parameter values are determined to quantitatively describe the dynamic relations among different elements. After verifying the effectiveness of the model, different scenarios for the sustainable development in the study area were set by changing the values of the controlling variables. The variation trends of the exhaust emissions and economic benefits for Qingdao port under different scenarios were predicted for the years 2015–2025. By comparing the simulation results, the effects of different sustainable development measures were analyzed, providing a reference for the promotion of the harmonious development of the regional environment and economy